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Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2022
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1 X user

Citations

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8 Dimensions

Readers on

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16 Mendeley
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Title
Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network
Published in
Frontiers in Aging Neuroscience, June 2022
DOI 10.3389/fnagi.2022.866230
Pubmed ID
Authors

Yu Zhou, Xiaopeng Si, Yi-Ping Chao, Yuanyuan Chen, Ching-Po Lin, Sicheng Li, Xingjian Zhang, Yulin Sun, Dong Ming, Qiang Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 9 56%
Readers by discipline Count As %
Neuroscience 4 25%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2022.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from Frontiers in Aging Neuroscience
#4,274
of 4,759 outputs
Outputs of similar age
#352,723
of 438,336 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#301
of 362 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.